Generative Adversarial Networks | GAN Explained скачать в хорошем качестве

Generative Adversarial Networks | GAN Explained

In this video, we delve into the core concepts of Generative Adversarial Networks ( GAN ), going over different components and how to build a generative adversarial neural network , understanding how to train generative adversarial networks , exploring the underlying math and providing a step-by-step PyTorch implementation. This video is an attempt to give you a thorough understanding of how do Generative Adversarial Networks work. By the end of video we will be building gan with pytorch and train our gan on mnist dataset and see results of that. 🔍 Video Highlights: 1. Overview of Generative Adversarial Networks : We first look at the general objective of GAN and its different components, discriminator and generator and what are their responsibilities. 2. Training Generator and Discriminator of GAN : We see how to train the generator and discriminator from their perspective of classification objectives. 3. Math behind Optimization of GAN : We break down entire math behind the value function that the models try to optimize in Generative Adversarial Networks and also go over the convergence proofs pertaining to the optimal discriminator and generator as a result of this optimization process. 4. PyTorch Implementation of Generative Adversarial Networks : We end by implementing a GAN with fc layers for training on MNIST dataset in PyTorch. ⏱️ Timestamps 00:00 Intro 00:36 Objective of using Generative Adversarial Networks 01:50 Components of GAN: Generator and Discriminator 04:53 Optimizing a Generative Adversarial Networks 12:22 Optimal Discriminator and Generator of GAN 18:57 PyTorch Implementation of Generative Adversarial Networks 25:33 Results of training GAN on MNIST 26:02 Outro 🔔 Subscribe : https://tinyurl.com/exai-channel-link Useful Resources: Paper Link - http://tinyurl.com/exai-gan-paper Implementation - http://tinyurl.com/exai-gan-github-im... 📌 Keywords: #GenerativeAdversarialNetworks #GANsTutorial #GAN Background Track - Fruits of Life by Jimena Contreras Email - explainingai.official@gmail.com